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امیری کیا, فرزانه, ناجی دومیرانی, صادق. (1396). ارزیابی تناسب اراضی استان فارس برای کشت گندم دیم براساس عوامل اقلیمی، فیزیوگرافی و مدل تلفیقی TOPSIS-AHP در محیط GIS. سامانه مدیریت نشریات علمی, 30(4), 74-92. doi: 10.22092/aj.2018.120139.1239
فرزانه امیری کیا; صادق ناجی دومیرانی. "ارزیابی تناسب اراضی استان فارس برای کشت گندم دیم براساس عوامل اقلیمی، فیزیوگرافی و مدل تلفیقی TOPSIS-AHP در محیط GIS". سامانه مدیریت نشریات علمی, 30, 4, 1396, 74-92. doi: 10.22092/aj.2018.120139.1239
امیری کیا, فرزانه, ناجی دومیرانی, صادق. (1396). 'ارزیابی تناسب اراضی استان فارس برای کشت گندم دیم براساس عوامل اقلیمی، فیزیوگرافی و مدل تلفیقی TOPSIS-AHP در محیط GIS', سامانه مدیریت نشریات علمی, 30(4), pp. 74-92. doi: 10.22092/aj.2018.120139.1239
امیری کیا, فرزانه, ناجی دومیرانی, صادق. ارزیابی تناسب اراضی استان فارس برای کشت گندم دیم براساس عوامل اقلیمی، فیزیوگرافی و مدل تلفیقی TOPSIS-AHP در محیط GIS. سامانه مدیریت نشریات علمی, 1396; 30(4): 74-92. doi: 10.22092/aj.2018.120139.1239

ارزیابی تناسب اراضی استان فارس برای کشت گندم دیم براساس عوامل اقلیمی، فیزیوگرافی و مدل تلفیقی TOPSIS-AHP در محیط GIS

پژوهش های کاربردی زراعی
مقاله 5، دوره 30، شماره 4 - شماره پیاپی 117، اسفند 1396، صفحه 74-92    اصل مقاله (891.48 K)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22092/aj.2018.120139.1239
نویسندگان
فرزانه امیری کیا* 1؛ صادق ناجی دومیرانی2
1فارغ التحصیل کارشناسی ارشد زراعت دانشگاه شهید مدنی
2فارغ التحصیل ارشد سنجش از دور و سیستم اطلاعات جغرافیایی دانشگاه خوارزمی تهران
چکیده
افزایش روزافزون جمعیت و نیاز به تامین مواد غذایی مورد نیاز آنها از دغدغههای اصلی دولتها میباشد. به دلیل اهمیت استراتژیک گندم، شناسایی مناطق مستعد مناسب کشت این گیاه زراعی با استفاده از دادههای اقلیمی و فیزیوگرافی باعث افزایش عملکرد آن خواهد شد. این تحقیق با استفاده از دادههای اقلیمی از قبیل دمای متوسط سالانه، دمای جوانه زنی و گلدهی و بارشهای سالانه، پاییزه، بهاره و دادههای فیزیوگرافی شامل ارتفاع و شیب برای ارزیابی تناسب اراضی مستعد کشت گندم دیم در سطح استان فارس استفاده شده است. مطالعه و بررسی هر یک از این دادهها براساس نیازهای اقلیمی و فیزیوگرافی گندم دیم صورت گرفته است. با تعمیم داده‌ها به سطح، و پردازش آنها با استفاده از فناوری GISلایههای اطلاعاتی مربوط به هر یک از آنها تهیه و به منظور اولویتبندی و ارزیابی معیارها و لایههای اطلاعاتی در رابطه با هم، وزندهی معیارها از مدل تحلیل سلسله مراتبی (AHP) مبتنی بر روش TOPSIS استفاده گردید و همپوشانی و تحلیل فضایی لایهها در محیط GIS صورت گرفت و در نهایت نواحی مستعد کشت گندم در استان فارس شناسایی شد. نتایج بدست آمده نشان داد که 63/13 درصد از مساحت استان در پهنه بسیار خوب قرار دارد که شامل مناطق غرب و شمال غرب استان (شهرستانهای ممسنی، کازرون، سپیدان و بخشهایی از شهرستانهای شیراز، اقلید، مرودشت و فیروزآباد) است و مستعدترین مناطق استان بوده و حدود 28 درصد از مساحت استان در پهنههای خیلی ضعیف و ضعیف برای کشت گندم دیم قرار دارد که بیشتر در نواحی شرق و شمال شرق قرار دارد.
کلیدواژه‌ها
گندم دیم؛ فارس؛ GIS؛ TOPSIS؛ AHP
عنوان مقاله [English]
Land Suitability Evaluation for Dryland Wheat Production in Fars Province based on Climatic and Physiographic Factors and Integrated TOPSIS-AHP Model in GIS Environment
نویسندگان [English]
Farzaneh Amiri Kia1؛ sadegh naji DOMIRANI2
1Graduated from the Masters of Agriculture, Shahid Madani University
2Senior Graduate of Remote Sensing and Geographic Information Systems of Kharazmi University of Tehran
چکیده [English]
Introduction
In recent decades, one of the most important challenges to the safe cultivation of dryland cereal grains in Iran has been the lack of information on the suitable lands with a great potential to grow such crops. Considering the strategic importance of wheat, identification of suitable lands and areas for planting this crop based on environmental data assessment can result in the sustainable production of wheat in different regions (Farajzadeh, 2002).
Nowadays, the capabilities and potentials offered by the Geographic Information System (GIS) to analyze the temporal and spatial features of land data are widely acknowledged. Using GIS to generate a land suitability map for a particular crop can illustrate the suitability of the distribution model for that crop in each map unit for the land units in the area. Geographic information system and remote sensing can be used separately in this type of study. However, using them simultaneously can significantly increase the efficiency of the study (Sarmadian et al., 2003). The investigation of climatic parameters in relation to the needs of each crop allows for an accurate assessment of the agricultural condition of the area under study. Moreover, it can aid in the identification of the most sustainable areas and the most suitable agricultural crops based on the atmospheric and physiographic parameters. In this study, attempts were made to identify and introduce the most suitable areas for dryland wheat production in Fars province using GIS software and its analysis output as well as the TOPSIS-AHP model.

Materials and Methods
In this study, first, the ecological requirements of dryland wheat were determined based on the available resources. Then, given the ecological needs of dryland wheat, all the necessary meteorological data was collected from the stations. Meteorological layers including the average temperature and the annual, autumn and spring precipitation interpolated by Inverse Distance Weighted (IDW) method – due to less error and more precision – in Arc GIS 10.3 environment in raster format with a pixel size of 30 meters. For the spatial analysis and preparation of the maps of slope layer, slope direction and elevation, the DEM of the region was executed, using Arc GIS software. The hierarchical analysis process (AHP) was used for weighting the criteria. Ultimately, the multi-criteria evaluation method of TOPSIS was used for the final analysis and modeling.

Results and Discussion
The results of the analysis of AHP questionnaires showed that among the factors influencing dryland wheat cultivation in Fars province, the annual precipitation rate and the average annual temperature with a weight of 0.325 and 0.212, respectively, were the most important factors, and the physiographic factors such as slope, with the weighing value of 0.30, are of the least importance for the experienced experts of agriculture in Fars province. This is in line with the results of Bhagat et al., 2009 who found that precipitation and temperature were, respectively important climatic elements in identifying suitable land areas for dryland farming. Then, the desirability rate of the agricultural areas of Fars province for wheat cultivation was determined based on the TOPSIS model. In this map, the surface of province was categorized into five groups in terms of the potential for dryland wheat cultivation, and the first group, which includes 13.63 percent of the total area of the province, was classified as a very good area for dryland wheat cultivation, which mostly consisted of the west and northwest regions of Fars province. The results obtained by the final map of the suitable areas for dryland wheat cultivation indicate that the western and northwest areas of the province are suitable for plant growth in every respect. Therefore, recognizing the suitability of these areas and prioritizing them for dryland grain cultivation, which is reliant on atmospheric precipitation, is of paramount importance. On the other hand, approximately 28 percent of the area of the province was found to be weak and very weak for growing dryland wheat, which includes the north-east and east regions, among them, Abadeh, Khorrambid, Bavanat, Neyriz, and some parts of Eghlid and Larestan, are the regions where it is virtually impossible to find a land area that is suitable and economically feasible for the dryland cultivation of wheat.
کلیدواژه‌ها [English]
Dryland wheat, Fars, GIS, TOPSIS, AHP
مراجع

Abdelkader, M. and Amina, D. 2012. Integration of multiCriteria decision analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture. Vol, 83. Pp: 117-126.
Asgharpour, M. 2004. Multi-criteria Decision Making. Third Edition. Tehran University Press, Tehran.
Ates, N. Y., Cevik, S., Kahraman, C., Gulbay, M., & Erdogan, S. A. 2006. Multi attribute performance evaluation using a hierarchical fuzzy TOPSIS method. In Fuzzy Applications in Industrial Engineering (pp. 537-572). Springer Berlin Heidelberg.
Bazgir, S. 1999. A Study on the Climate Potential of the Dry Cultivation of Wheat (Case Study: Kurdistan Province), Faculty of Agriculture, University of Tehran, Iran. (In Persian with English Summary).
Behnia, M. 1997. Cold Areas Grains. Second Edition. Tehran University Press, Tehran.
Bertolini, M., Braglia, M. 2006. Application of the AHP methodology in making a proposal for a public work contract. International Journal of Project Management., 24: 422-430.
Bhagat RM, Singh S, Sood C, Rana RS, Kalia V, Pradhan S, Immerzeel W and Shestha B. 2009. Land Suitability Analysis for Cereal Production in Himachal Pradesh (India) using Geographical Information System. Indian Society of Remote Sensing, 37:233–240.
Chen HS, Liu GS, Yang YF, Ye XF and Shi Z, 2010. Comprehensive evaluation of tobacco ecological suitability of Henan province based on GIS. Agricultural Sciences in China, 9:583-592.
Ehteramiyan, K. Niya Gharaei, M. Motamedi, M;. Gharaei, Sh. Rafei. M. and Zabol Abbasi, F. 2009. Climatic zoning in north Khorasan for dryland wheat cultivation. Journal of Geographical Sciences.Vol, 14. P:45.
Eini, H., Sadeghi, Soleyman., Hossein Zadeh., and Sayed Reza. 2013. The Zoning of Topoclimatic Potential of Dry Wheat Cultivation in Kermanshah Province, Journal of Geography and Regional Development. Vol. 10. No. 19. p. 21-45. (In Persian).
Farajzadeh, M. 2002. Modelling wheat yield criteria agro in Wes Azerbaijan province. MA Thesis, Department of Agriculture. Tehran University.
Farajzadeh, M and Takloubihsh, A. 2002. Agro-climatic zoning of Hamedan province using geographic information system with emphasis on dry wheat. “ Geographic Research. No. 41. (In Persian).
Fallah Ghaleri, G. A., Asadi, M., Dadashi Roodbari, A. A. 2015. Determination of Susceptible Areas for Dry Wheat Cultivation (Case study: Fars Province), Agricultural Meteorology Journal, Third Year, No. 2. p. 68-73. (In Persian with English Summary).
Feyzizadeh, B. Ebdali, H. Rezaei Banafshei, M. and Mohamadi, G. 2012. Zoning of the wheat crop in eas Azarbaijan province using GIS spatial Analysis. Journal of research and Development. No, 96. Pp:76-91 (In Persian with English Summary).
Food and Agriculture Organization. 2002. Global agro-ecological assessment for agriculture in the 21st century. Land and water digital media series, 21. FAO, Rome.
Ghodsypour, H., 2010. Discussions in Multi-criteria Decision Making, Amir Kabir University of Technology Publication (Tehran Polytechnic). p. 220.
Gupta, U. S. 2007. Physiological aspects of dryland farming, translated by Gholam Hossein Sarmadnia and Avaz Khaki. Jahad Daneshgahi Press. University of Mashhad. 423 pages.
Givi, J. 1997. Evaluation of Proper Land Quality for Agricultural Plants, Ministry of Agriculture, Agricultural Research, Training and Extension Organization. Soil and Water Research Institute. Technical Journal No. 1015. 100 pages. (In Persian).
Hwang CL, Yoon K. Multiple Attribute Decision Making: Methods and Applications; A State-Of- The-Art Survey. New York: Springer-Verlag; 1981.
Kamali, Gh., Sedghianipour, A., and Sedaghat Kerdar, A. 2008. The Study of Climate Potential of Dry Wheat Cultivars in East Azarbaijan Province, Journal of Soil and Water (Agricultural Sciences and Technology), Vol. 22, No. 2. p. 483-467. (In Persian).
Kamali, Gh., Melani, P., and Behiar, M. 2010. Preparation of Dry Wheat Atlas of Zanjan Province Using Climatic and GIS Data. Water and Soil Journal. Vol. 24 No. 5. December - December 2010. P. 894-907. (In Persian).
Khajehpour, M. 1986. Principles and Foundations of Agriculture. Jahad Daneshgahi Publication of Isfahan University of Technology. (In Persian with English Summary).
Khan, M. R. Debie, C. A. Van Keulen, H. Smaling, E. and Real, R. 2010. Disaggregating and mapping crop satisic using hypertemporal remote sensing. International Journal of Applied Earth Observation and Geoinformation.Vol,12. Pp 36-46.
Kheirkhah Zarkesh, M., 2005: DSS for floodwater site selection in Iran, PhD Thesis, Wageningen University. 273 pp.
Khorshid Doust, A., Hosseini, S., and Pour Mohammad, K. 2011. Determination of Suitable Locations for Rapeseed Cultivation in Kurdistan Province Using GIS Geographic Information System. Journal of Water and Soil Knowledge. Vol. 21. No. 3. p. 48-37. (In Persian).
Kunz, J. 2010. The Analytic Hierarchy Process (AHP), Eagle City Hall Location Options Task Force: 1-25.
Lotfi, M., Hajam, S., Arkhi. 2008. The zoning of favorable areas of dryland wheat cultivation, considering the climate factors and land factors, using land statistical methods (Case study: Tehran province). Master’s Thesis. Azad University, Science and Research Branch, Tehran, Faculty of Basic Sciences, Agricultural Meteorology Department. (In Persian with English Summary).
Mousavi Bayegi, M., Ashraf, B., and Ramezanzadeh Hazhbar, F. 2014. Identification of susceptible areas and determining the proper date of cultivation of wheat in dryland areas of Khorasan Razavi province. Applied Research, Agriculture, No. 99. p. 131-140. (In Persian).
Perrier, E. R., Salkini, A. B. 1991. Supplemental irrigation in Near East and North Africa. Kluwer Academic pub., Netherlands.
Rastegar, M. 2002. General Agriculture. Berahmand Publications. Sixth Vol. p. 61.
Rasouli, A., Ghasemi Gol’azani, K., and Sobhani, B. 2005. The Role of Rainfall and Elevation in Determination of Favorable Areas for Dry Cultivation of Wheat Using GIS (Case study: Ardebil province). Geography and Development Magazine. p. 200-183. (In Persian).
Saaty T L, 1980. The Analytical Hierarchy Process, Planing, Priorty, Resource Allocation, USA. RWS Publications, Pittsburgh.
Saaty, T. L. 1990. Decision Making for Leaders. Pittsburgh: RWS publications.
Saaty, T. L. 1996. The Analytic Network Process. Pittsburgh: RWS Publications.
Sarmadian, F., Moravej, K., Mahmoodi, Sh., and Ebrahimi Khomami, S.M. 2003. An investigation of land suitability evaluation for irrigated crop, using remote sensing and geographical information system techniques in parts of Varamin plain. Iranian Journal of Agricultural Sciences. 34: 899-912. (In Persian with English Summary).
Sarmadian, F., and Ta’ati, A. 2015. Agro-ecological Zoning of Part of Qazvin Lands for Wheat Cultivation Using GIS and RS. Journal of Agricultural Ecology, Vol. 7, No. 3. p. 380-368. (In Persian with English Summary).
Shabestari, M. M., and Mojtahedi, M. 1990. Physiology of crops. First Edition. Shiraz University Publication Center.
Shuanghe. S, ShenBin.Y, BingBai. L, BingXiang. T, Zeng Yuan. L, Toan Thuy. L, 2009. A scheme for regional rice yield estimation using ENVISAT ASAR data, Sci China Ser D-Earth Sci, 2009, 52(8): 1183-1194 doi: 10.1007/s11430-009-0094-z.
Tavanpour, N AND Asghar Ghaemi, A. Zoning of Fars Province in Terms of Rain-fed Winter Wheat Cultivation Based on Precipitation and Morphological Factors. 2016. Iranian Journal of Irrigation and Drainage. Vol. 10. No. 4. Sept.-Oct. 2016, p. 544-555. (In Persian with English Summary).
Taylor, B.W. (2004). Introduction to Management Science. Pearson Education Inc. New Jersey.
Wang, Y. M., & Elhag, T. M. S. 2006. Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31, 309–319.
Wang, Y. J. 2007. Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan. Expert Systems with Applications, in press, doi:10.1016/j.eswa.2007.02.029.
Zarrin, A. 2000. Modelling the Yield of dry wheat, Considering the Agricultural Climatology Parameters in West Azerbaijan Province. Master’s thesis. Tarbiat Modares University. Natural Geography Department. (In Persian with English Summary).

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